Xie Huan, Omar Ihab, Rajab Husam, Chaturvedi Rishabh, Hussein Abdullah Abed, Singh Narinderjit Singh Sawaran, Asiri Jaber M, Raj Nimesh, Gupta Tannmay, Alizadeh Ahmad
School of Mechanical Engineering, Xijing University, Xi'an, 710123, Shaanxi, China.
Air Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, 56001, Karbala, Iraq.
Sci Rep. 2025 Aug 12;15(1):29550. doi: 10.1038/s41598-025-14472-4.
This article delves into the eco-friendly operation of a smart microgrid, highlighting its ability to maintain voltage security through a flexible renewable hybrid system. The framework incorporates wind and bio-waste energy sources to produce electricity, while leveraging electric vehicles as mobile storage units and flexibility resources. The hybrid system is also capable of managing reactive power. The design focuses on two core Objectives: minimizing operational costs and bolstering voltage security in the grid. To ensure these goals are met, several critical constraints are addressed, including the AC optimal dispatch model, security limitations of the smart microgrid, management of hybrid resources and storage operations, and restrictions related to system flexibility. A single-objective optimization approach uses weighted functions alongside a fuzzy decision-making method to achieve a compromised solution. Stochastic programming is applied to accurately account for uncertainties linked to renewable energy production, load fluctuations, energy pricing, and electric vehicle integration. The research stands out for introducing a multi-objective energy scheduling approach that combines a flexible-renewable hybrid system with the adaptability of electric vehicles and the operational capabilities of bio-waste systems. Numerical simulations emphasize the effectiveness of this design in improving both the technical performance and economic feasibility of smart microgrids and hybrid systems. Noteworthy findings reveal that mobile storage units can fully meet the flexibility requirements of the hybrid system. In comparison with conventional load flow studies, this optimized system delivers enhancements in voltage stability, economic efficiency, and operational capacity by approximately 20%, 33%-65%, and 41%, respectively.
本文深入探讨了智能微电网的环保运行，强调了其通过灵活的可再生混合系统维持电压安全的能力。该框架整合了风能和生物废弃物能源来发电，同时将电动汽车用作移动存储单元和灵活性资源。该混合系统还能够管理无功功率。设计聚焦于两个核心目标：最小化运营成本以及增强电网中的电压安全。为确保实现这些目标，解决了若干关键约束，包括交流最优调度模型、智能微电网的安全限制、混合资源管理和存储运营以及与系统灵活性相关的限制。一种单目标优化方法使用加权函数并结合模糊决策方法来达成折衷解决方案。应用随机规划来准确考虑与可再生能源生产、负荷波动、能源定价以及电动汽车整合相关的不确定性。该研究的突出之处在于引入了一种多目标能源调度方法，该方法将灵活的可再生混合系统与电动汽车的适应性以及生物废弃物系统的运行能力相结合。数值模拟强调了这种设计在提高智能微电网和混合系统的技术性能和经济可行性方面的有效性。值得注意的发现表明，移动存储单元能够完全满足混合系统的灵活性要求。与传统潮流研究相比，该优化系统在电压稳定性、经济效率和运行能力方面分别提高了约20%、33% - 65%和41%。
